Há uma herança queer entre nós: na sauna com Thomas Waugh
Bibliographic record
Abstract
Era começo do verão canadense quando desembarquei em Toronto para cursar o período sanduíche, durante o doutorado, na York University (YorkU). Nas duas primeiras semanas, fiquei hospedado na casa do meu supervisor, o diretor de cinema John Greyson, que, antes de viajar, me avisou que deixaria uma chave em um envelope com meu nome na sua caixa de correios na Shaw St. Durante aqueles dias, estive cercado de filmes, livros e nomes de ruas em que possivelmente moraria pelos próximos seis meses, mas o que me chamou atenção naquelas tardes, em que explorava o escritório dele com as cabeças de pinguim1, a primeira edição do seu livro Urinal (1993) e a vista da janela para a CN Tower, foi encontrar todos os livros de Thomas Waugh nas estantes. Trago essa lembrança dos livros porque, poucos meses antes de viajar, meu orientador no doutorado em Comunicação e Cultura da Universidade Federal do Rio de Janeiro (UFRJ), Denilson Lopes, havia me emprestado o exemplar dele de Hard to imagine: gay male eroticism in photography and film from their beginnings to Stonewall (1996). Comecei a folhear aqueles livros de Thom e decidi escrever um e-mail para ele, falando que estava no Canadá, sendo orientado por Denilson e John, pois naquele momento pensei que poderia ir a Montreal entrevistá-lo.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.010 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".